| N_sites | N_counts | N_detections | rep_period | iterations | burnin | thin |
|---|---|---|---|---|---|---|
| 127 | 1467 | 386 | 7 days | 120000 | 20000 | 10 |
| Yr | 2016 | 2017 | 2018 | 2019 | 2020 |
| sites | 19 | 31 | 19 | 32 | 26 |
| detections | 146 | 114 | 76 | 22 | 28 |
| N.dot.model | 20 | 28 | 22 | 9 | 24 |
| model | description | WAIC | N.total.est |
|---|---|---|---|
| fm7 | counts | 30.01311 | 127 |
| fm1 | dot | 1654.77895 | 103 |
| fm4 | lure + jdt | 1661.86163 | 109 |
| fm6 | lure + jdt + jdtSq | 1662.81012 | 109 |
| fm3 | lure | 1665.13588 | 118 |
| fm2 | jdt | 1691.92470 | 140 |
| fm5 | jdt + jdtSq | 1693.28732 | 140 |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| p[1] | NA | 5298 | 0.329 | 0.332 | 0.28 | 0.39 | 0 | 1.001 |
| p[2] | NA | 5278 | 0.168 | 0.167 | 0.13 | 0.21 | 0 | 1.001 |
| p[3] | NA | 4557 | 0.096 | 0.094 | 0.07 | 0.12 | 0 | 1.001 |
| p[4] | NA | 6856 | 0.081 | 0.077 | 0.05 | 0.12 | 0 | 1.001 |
| p[5] | NA | 2441 | 0.033 | 0.03 | 0.01 | 0.05 | 0 | 1.0009 |
| lambda[1] | NA | 8837 | 1.080 | 1.046 | 0.65 | 1.47 | 0 | 1.001 |
| lambda[2] | NA | 7489 | 1.014 | 0.959 | 0.65 | 1.37 | 0 | 1.001 |
| lambda[3] | NA | 6569 | 1.276 | 1.185 | 0.77 | 1.80 | 0 | 1.001 |
| lambda[4] | NA | 8391 | 0.335 | 0.285 | 0.14 | 0.52 | 0 | 1.001 |
| lambda[5] | NA | 1057 | 1.327 | 1.013 | 0.52 | 2.07 | 0 | 1.001 |
| N[14] | NA | 8077 | 1.001 | err | 1.00 | 1.00 | err | err |
| N[19] | NA | 7341 | 1.122 | err | 1.00 | 2.00 | err | err |
| N[37] | NA | 8694 | 1.090 | err | 1.00 | 1.00 | err | err |
| N[49] | NA | 8053 | 0.001 | err | 0.00 | 0.00 | err | err |
| N[32] | NA | 10000 | 1.006 | err | 1.00 | 1.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | jdt | 10042 | 0.113 | 0.117 | 0.01 | 0.21 | 0.21728 | 0.957 |
| alpha0 | NA | 4132 | -2.193 | -2.189 | -2.36 | -2.03 | 0 | 1.001 |
| lambda[1] | NA | 6723 | 3.040 | 2.916 | 2.14 | 3.86 | 0 | 1.001 |
| lambda[2] | NA | 7102 | 1.509 | 1.443 | 1.04 | 1.98 | 0 | 1.001 |
| lambda[3] | NA | 9100 | 1.221 | 1.142 | 0.76 | 1.65 | 0 | 1.001 |
| lambda[4] | NA | 10000 | 0.292 | 0.259 | 0.13 | 0.45 | 0 | 1.001 |
| lambda[5] | NA | 10000 | 0.620 | 0.574 | 0.35 | 0.88 | 0 | 1.001 |
| N[110] | NA | 9766 | 0.015 | err | 0.00 | 0.00 | err | err |
| N[7] | NA | 8357 | 6.303 | 7 | 5.00 | 9.00 | 0 | 1.001 |
| N[102] | NA | 10000 | 0.008 | err | 0.00 | 0.00 | err | err |
| N[64] | NA | 10165 | 1.025 | err | 1.00 | 1.00 | err | err |
| N[34] | NA | 9638 | 2.223 | 2.002 | 1.00 | 3.00 | 0 | 1.0008 |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | lure | 7275 | -0.524 | -0.517 | -0.69 | -0.37 | 0 | 1.001 |
| alpha0 | NA | 4213 | -2.228 | -2.222 | -2.40 | -2.06 | 0 | 1.001 |
| lambda[1] | NA | 7535 | 2.359 | 2.307 | 1.65 | 3.08 | 0 | 1.001 |
| lambda[2] | NA | 7807 | 1.249 | 1.191 | 0.86 | 1.66 | 0 | 1.001 |
| lambda[3] | NA | 8959 | 1.123 | 1.034 | 0.68 | 1.53 | 0 | 1.001 |
| lambda[4] | NA | 10000 | 0.285 | 0.26 | 0.13 | 0.43 | 0 | 1.001 |
| lambda[5] | NA | 10000 | 0.644 | 0.607 | 0.35 | 0.90 | 0 | 1.001 |
| N[38] | NA | 10000 | 0.179 | err | 0.00 | 1.00 | err | err |
| N[13] | NA | 8674 | 2.381 | 2.002 | 2.00 | 4.00 | 0 | 1.0008 |
| N[110] | NA | 9648 | 0.031 | err | 0.00 | 0.00 | err | err |
| N[59] | NA | 8489 | 3.453 | 3.002 | 3.00 | 5.00 | 0 | 1.0009 |
| N[91] | NA | 8711 | 0.002 | err | 0.00 | 0.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | lureDays | 6043 | -0.628 | -0.622 | -0.79 | -0.46 | 0 | 1.001 |
| alpha[2] | julianDt | 7861 | 0.253 | 0.249 | 0.14 | 0.36 | 0.00139 | 1.0008 |
| alpha0 | NA | 3861 | -2.243 | -2.237 | -2.42 | -2.06 | 0 | 1.001 |
| lambda[1] | NA | 7004 | 2.009 | 1.961 | 1.36 | 2.67 | 0 | 1.001 |
| lambda[2] | NA | 7688 | 1.199 | 1.148 | 0.78 | 1.56 | 0 | 1.001 |
| lambda[3] | NA | 9099 | 1.135 | 1.05 | 0.70 | 1.55 | 0 | 1.001 |
| lambda[4] | NA | 10000 | 0.286 | 0.25 | 0.13 | 0.45 | 0 | 1.001 |
| lambda[5] | NA | 9695 | 0.695 | 0.636 | 0.38 | 0.97 | 0 | 1.001 |
| N[56] | NA | 9538 | 1.293 | 1 | 1.00 | 2.00 | 0 | 1 |
| N[8] | NA | 10000 | 0.059 | err | 0.00 | 0.00 | err | err |
| N[100] | NA | 10000 | 1.005 | err | 1.00 | 1.00 | err | err |
| N[82] | NA | 10000 | 0.036 | err | 0.00 | 0.00 | err | err |
| N[110] | NA | 8688 | 0.051 | err | 0.00 | 0.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | julianDt | 2875 | 0.096 | 0.085 | -0.09 | 0.29 | 0.759 | 0.7863 |
| alpha[2] | julianDtSq | 3054 | 0.019 | 0.011 | -0.15 | 0.20 | 0.99487 | 0.5722 |
| alpha0 | NA | 3839 | -2.190 | -2.202 | -2.36 | -2.02 | 0 | 1.001 |
| lambda[1] | NA | 6136 | 3.047 | 2.968 | 2.15 | 3.93 | 0 | 1.001 |
| lambda[2] | NA | 6961 | 1.496 | 1.461 | 1.03 | 1.96 | 0 | 1.001 |
| lambda[3] | NA | 8561 | 1.218 | 1.191 | 0.75 | 1.66 | 0 | 1.001 |
| lambda[4] | NA | 10000 | 0.290 | 0.251 | 0.13 | 0.44 | 0 | 1.001 |
| lambda[5] | NA | 10000 | 0.620 | 0.583 | 0.35 | 0.88 | 0 | 1.001 |
| N[18] | NA | 9566 | 0.171 | err | 0.00 | 1.00 | err | err |
| N[17] | NA | 9186 | 1.231 | err | 1.00 | 2.00 | err | err |
| N[46] | NA | 10000 | 0.858 | 0 | 0.00 | 2.00 | 1 | err |
| N[103] | NA | 10000 | 1.018 | err | 1.00 | 1.00 | err | err |
| N[120] | NA | 10000 | 1.016 | err | 1.00 | 1.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | lureDays | 5868 | -0.654 | -0.655 | -0.83 | -0.49 | 0 | 1.001 |
| alpha[2] | julianDt | 2641 | 0.374 | 0.355 | 0.17 | 0.57 | 0.01019 | 1 |
| alpha[3] | julianDtSq | 2948 | -0.133 | -0.125 | -0.32 | 0.04 | 0.51387 | 0.8768 |
| alpha0 | NA | 4121 | -2.247 | -2.234 | -2.43 | -2.08 | 0 | 1.001 |
| lambda[1] | NA | 6975 | 1.917 | 1.764 | 1.24 | 2.51 | 0 | 1.001 |
| lambda[2] | NA | 7949 | 1.228 | 1.153 | 0.83 | 1.63 | 0 | 1.001 |
| lambda[3] | NA | 9180 | 1.117 | 1.044 | 0.69 | 1.52 | 0 | 1.001 |
| lambda[4] | NA | 10000 | 0.289 | 0.247 | 0.12 | 0.44 | 0 | 1.001 |
| lambda[5] | NA | 8921 | 0.701 | 0.652 | 0.39 | 0.99 | 0 | 1.001 |
| N[4] | NA | 7716 | 2.439 | 2.002 | 2.00 | 4.00 | 0 | 1.0009 |
| N[58] | NA | 10000 | 0.011 | err | 0.00 | 0.00 | err | err |
| N[109] | NA | 10000 | 0.052 | err | 0.00 | 0.00 | err | err |
| N[56] | NA | 9628 | 1.279 | 1 | 1.00 | 2.00 | 0 | 1 |
| N[51] | NA | 10000 | 0.156 | err | 0.00 | 1.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | counts | 9102 | 22.049 | 22.106 | 19.81 | 24.10 | 0 | 1.001 |
| alpha0 | NA | 9544 | -2.150 | -2.123 | -2.68 | -1.59 | 0 | 1.001 |
| lambda[1] | NA | 10000 | 0.995 | 0.941 | 0.60 | 1.37 | 0 | 1.001 |
| lambda[2] | NA | 10000 | 0.984 | 0.949 | 0.61 | 1.33 | 0 | 1.001 |
| lambda[3] | NA | 10405 | 0.976 | 0.918 | 0.55 | 1.39 | 0 | 1.001 |
| lambda[4] | NA | 7090 | 0.866 | 0.696 | 0.37 | 1.37 | 0 | 1.001 |
| lambda[5] | NA | 9695 | 0.972 | 0.909 | 0.54 | 1.38 | 0 | 1.001 |
| N[31] | NA | 0 | 1.000 | err | 1.00 | 1.00 | err | err |
| N[104] | NA | 10000 | 0.946 | 0 | 0.00 | 2.00 | 1 | err |
| N[52] | NA | 10000 | 0.904 | 0 | 0.00 | 2.00 | 1 | err |
| N[124] | NA | 10000 | 1.024 | err | 1.00 | 1.00 | err | err |
| N[33] | NA | 10000 | 1.000 | err | 1.00 | 1.00 | err | err |
## Warning in cor(X, use = "pairwise.complete.obs"): the standard deviation is zero
## Warning: Removed 50 rows containing missing values (geom_bar).